Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics

Ji Hoon Kim; Seunghee Han; Kwanghyun Park; Soo Young Ji; Joo Young Kim

doi:10.1109/HCS55958.2022.9895601

Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics

Ji Hoon Kim, Seunghee Han, Kwanghyun Park, Soo Young Ji, Joo Young Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2022 IEEE Hot Chips 34 Symposium, HCS 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665460286
DOIs	https://doi.org/10.1109/HCS55958.2022.9895601
Publication status	Published - 2022
Event	2022 IEEE Hot Chips 34 Symposium, HCS 2022 - Cupertino, United States Duration: 2022 Aug 21 → 2022 Aug 23

Publication series

Name	2022 IEEE Hot Chips 34 Symposium, HCS 2022

Conference

Conference	2022 IEEE Hot Chips 34 Symposium, HCS 2022
Country/Territory	United States
City	Cupertino
Period	22/8/21 → 22/8/23

All Science Journal Classification (ASJC) codes

Hardware and Architecture
Software
Electrical and Electronic Engineering

Access to Document

10.1109/HCS55958.2022.9895601

Cite this

@inproceedings{f872f951b21c4fd4ac2f2aba2492bf06,

title = "Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics",

author = "Kim, {Ji Hoon} and Seunghee Han and Kwanghyun Park and Ji, {Soo Young} and Kim, {Joo Young}",

year = "2022",

doi = "10.1109/HCS55958.2022.9895601",

language = "English",

series = "2022 IEEE Hot Chips 34 Symposium, HCS 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 IEEE Hot Chips 34 Symposium, HCS 2022",

address = "United States",

note = "2022 IEEE Hot Chips 34 Symposium, HCS 2022 ; Conference date: 21-08-2022 Through 23-08-2022",

}

Kim, JH, Han, S, Park, K, Ji, SY & Kim, JY 2022, Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics. in 2022 IEEE Hot Chips 34 Symposium, HCS 2022. 2022 IEEE Hot Chips 34 Symposium, HCS 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Hot Chips 34 Symposium, HCS 2022, Cupertino, United States, 22/8/21. https://doi.org/10.1109/HCS55958.2022.9895601

Trinity : End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics. / Kim, Ji Hoon; Han, Seunghee; Park, Kwanghyun et al.

2022 IEEE Hot Chips 34 Symposium, HCS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Hot Chips 34 Symposium, HCS 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Trinity

T2 - 2022 IEEE Hot Chips 34 Symposium, HCS 2022

AU - Kim, Ji Hoon

AU - Han, Seunghee

AU - Park, Kwanghyun

AU - Ji, Soo Young

AU - Kim, Joo Young

PY - 2022

Y1 - 2022

UR - http://www.scopus.com/inward/record.url?scp=85140989710&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85140989710&partnerID=8YFLogxK

U2 - 10.1109/HCS55958.2022.9895601

DO - 10.1109/HCS55958.2022.9895601

M3 - Conference contribution

AN - SCOPUS:85140989710

T3 - 2022 IEEE Hot Chips 34 Symposium, HCS 2022

BT - 2022 IEEE Hot Chips 34 Symposium, HCS 2022

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 21 August 2022 through 23 August 2022

ER -

Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics

Publication series

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Cite this